To further claim the effectiveness of TSGB under a non-medical scenario, we also conduct an empirical study on a commonly used MTL benchmark dataset, the multi-domain sentiment datasetSentiment dataset: https://www.cs.jhu.edu/~mdredze/datasets/sentiment/ [1]}. This dataset is a multi-domain sentiment classification dataset, containing positive and negative reviews from four different (product) domains from Amazon.com. The four product domains are books, DVDs, electronics, and kitchen appliances. Following [2]}, we use the 5000 most frequent terms of unigrams and bigrams as the input.
